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European competitiveness: a semiparametric stochastic metafrontier analysis at the firm level

Marijn Verschelde (UGent) , Michel Dumont (UGent) , Glenn Rayp (UGent) and Bruno Merlevede (UGent)
(2014) ECB WORKING PAPER. p.1-143
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Abstract
In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into firm-level competitiveness in Europe. We div ert from standard TFP studies at the fi rm level as we simultaneously allow for inefficiency, noise and do not impose a functional form on the input-output relation. Using AMADEUS fi rm-level data covering 10 manufacturing sectors from seven EU15 countries, (i) we document substantial, persistent di vergences in competitiveness (with Belgium and Germany as benchmark countries and Spain lagging behind) and a wide technology gap, (ii) we con firm the absence of convergence in TFP between the seven selected countries, (iii) we confi rm that the technology gap is more pronounced for smaller fi rms, (iv) we highlight the role of post-entry growth for competitiveness.
Keywords
Data Envelopment Analysis, productive efficiency, metafrontier estima- tion, semiparametric frontier, kernel estimation, manufacturing, stochastic frontier

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Chicago
Verschelde, Marijn, Michel Dumont, Glenn Rayp, and Bruno Merlevede. 2014. “European Competitiveness: a Semiparametric Stochastic Metafrontier Analysis at the Firm Level.” Ecb Working Paper (1701): 1–143.
APA
Verschelde, M., Dumont, M., Rayp, G., & Merlevede, B. (2014). European competitiveness: a semiparametric stochastic metafrontier analysis at the firm level. ECB WORKING PAPER, (1701), 1–143.
Vancouver
1.
Verschelde M, Dumont M, Rayp G, Merlevede B. European competitiveness: a semiparametric stochastic metafrontier analysis at the firm level. ECB WORKING PAPER. European Central Bank; 2014;(1701):1–143.
MLA
Verschelde, Marijn, Michel Dumont, Glenn Rayp, et al. “European Competitiveness: a Semiparametric Stochastic Metafrontier Analysis at the Firm Level.” ECB WORKING PAPER 1701 (2014): 1–143. Print.
@article{5760891,
  abstract     = {In this paper a semiparametric stochastic metafrontier approach is used to obtain insight into \unmatched{000c}firm-level competitiveness in Europe. We div\unmatched{000b}ert from standard TFP studies at the fi\unmatched{000c}rm level as we simultaneously allow for ineffi\unmatched{000e}ciency, noise and do not impose a functional form on the input-output relation. Using AMADEUS fi\unmatched{000c}rm-level data covering 10 manufacturing sectors from seven EU15 countries, (i) we document substantial, persistent di\unmatched{000b}vergences in competitiveness (with Belgium and Germany as benchmark countries and Spain lagging behind) and a wide technology gap, (ii) we con\unmatched{000c}firm the absence of convergence in TFP between the seven selected countries, (iii) we confi\unmatched{000c}rm that the technology gap is more pronounced for smaller fi\unmatched{000c}rms, (iv) we highlight the role of post-entry growth for competitiveness.},
  author       = {Verschelde, Marijn and Dumont, Michel and Rayp, Glenn and Merlevede, Bruno},
  issn         = {1725-2806},
  journal      = {ECB WORKING PAPER},
  language     = {eng},
  number       = {1701},
  pages        = {1--143},
  publisher    = {European Central Bank},
  title        = {European competitiveness: a semiparametric stochastic metafrontier analysis at the firm level},
  url          = {https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp1701.pdf},
  year         = {2014},
}